Abstract
In its first part this chapter briefly reviews applications of the Harmony Search (HS) optimization method in the irrigation industry. As will be seen, HS can be applied in similar problem areas as other heuristics. Therefore, other heuristic method applications in the irrigation industry are mentioned in this part of the chapter to encourage the use of HS instead, because of its already-reported effectiveness while handling various problems. The remainder of the chapter deals with one possible application of HS – the calibration of a simulation model of the hydraulic part of an irrigation system. This calibrated simulation model can be used in the design, reconstruction, enlargement or mainte nance of pressurized irrigation systems. The calibration of the water distribution model consists of a comparison of predicted pres sures and flows with those observed under known operating conditions (i.e., pump operation, tank levels, pressure-reducing valve settings), and an adjustment of the input data for the model to improve the agreement between the observed and predicted values. In practice, given a set or sets of measured state variables, engineers apply trial and error techniques, using their judgment to vary the parameters and accomplish this task. Trial and error techniques are tedious and do not always guarantee reasonable results. This chapter introduces a methodology for determining calibrated parameters automatically through the exploitation of the HS optimization method.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Kumar, D.N., Raju, K.S., Ashok, B.: Optimal reservoir operation for irrigation of multiple crops using genetic algorithms. Journal of Irrigation and Drainage Engineering 132, 123–129 (2006)
Geem, Z.W.: Optimal scheduling of multiple dam system using harmony search algorithm. In: Sandoval, F., Prieto, A.G., Cabestany, J., Graña, M. (eds.) IWANN 2007. LNCS, vol. 4507, pp. 316–323. Springer, Heidelberg (2007)
Bhattacharjya, R.B., Satish, M.G.: Optimal design of a stable trapezoidal channel section using hybrid optimization techniques. Journal of Irrigation and Drainage Engineering 133, 323–329 (2007)
Cheng, Y.M., Li, L., Lansivaara, T., et al.: An improved harmony search minimization algorithm using different slip surface generation methods for slope stability analysis. Engineering Optimization 40, 95–115 (2008)
Geem, Z.W.: Harmony search optimisation to the pump-included water distribution network design. Civil Engineering and Environmental Systems 26, 211–221 (2009)
Moradi-Jalal, M., Rodin, S.I., Marino, M.A.: Use of genetic algorithm in optimization of irrigation pumping stations. Journal of Irrigation and Drainage Engineering 130, 357–365 (2004)
Moradi-Jalal, M., Karney, B.W.: Optimal design and operation of irrigation pumping stations using mathematical programming and genetic algorithm. Journal of Hydraulic Research 46, 237–246 (2008)
Reca, J., Martinez, J.: Genetic algorithms for the design of looped irrigation water distribution networks. Water Resources Research (2006), doi:10.1029/2005WR004383
Geem, Z.W.: Optimal cost design of water distribution networks using harmony search. Engineering Optimization 38, 259–280 (2006)
Wardlaw, R., Bhaktikul, K.: Application of genetic algorithms for irrigation water scheduling. Irrigation and Drainage 53, 397–414 (2004)
Farmani, R., Abadia, R., Savic, D.: Optimum design and management of pressurized branched irrigation networks. Journal of Irrigation and Drainage Engineering 133, 528–537 (2007)
Rossman, L.A.: EPANET2 users manual. US Environmental Protection Agency, Cincinnati (2000)
Lamaddalena, N., Sagardoy, J.A.: Performance analysis of on-demand pressurized irrigation systems. FAO Irrigation and Drainage Paper No. 59, Rome (2000)
Aliod, R., Eizaguerri, A., Estrada, C., Perna, E.: Dimensionado y análisis hidráulico de redes de distribución a presión en riego a la demanda: Aplicación del programa GESTAR. Riegos y Drenajes XXI 92, 22–38 (1997)
Ormsbee, L.E., Lingireddy, S.: Calibrating hydraulic network models. AWWA 89, 42–50 (1997)
Geem, Z.W., Kim, J.H., Loganathan, G.V.: A New Heuristic Optimization Algorithm: Harmony Search. Simulation 76, 60–68 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Cisty, M. (2010). Application of the Harmony Search Optimization in Irrigation. In: Geem, Z.W. (eds) Recent Advances In Harmony Search Algorithm. Studies in Computational Intelligence, vol 270. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04317-8_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-04317-8_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04316-1
Online ISBN: 978-3-642-04317-8
eBook Packages: EngineeringEngineering (R0)